The Resource Turning Data into Insight with IBM Machine Learning for z/OS, Buhler, Samantha, (electronic resource)

Turning Data into Insight with IBM Machine Learning for z/OS, Buhler, Samantha, (electronic resource)

Label
Turning Data into Insight with IBM Machine Learning for z/OS
Title
Turning Data into Insight with IBM Machine Learning for z/OS
Statement of responsibility
Buhler, Samantha
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
The exponential growth in data over the last decade coupled with a drastic drop in cost of storage has enabled organizations to amass a large amount of data. This vast data becomes the new natural resource that these organizations must tap in to innovate and stay ahead of the competition, and they must do so in a secure environment that protects the data throughout its lifecyle and data access in real time at any time. When it comes to security, nothing can rival IBM® Z, the multi-workload transactional platform that powers the core business processes of the majority of the Fortune 500 enterprises with unmatched security, availability, reliability, and scalability. With core transactions and data originating on IBM Z, it simply makes sense for analytics to exist and run on the same platform. For years, some businesses chose to move their sensitive data off IBM Z to platforms that include data lakes, Hadoop, and warehouses for analytics processing. However, the massive growth of digital data, the punishing cost of security exposures as well as the unprecedented demand for instant actionable intelligence from data in real time have convinced them to rethink that decision and, instead, embrace the strategy of data gravity for analytics. At the core of data gravity is the conviction that analytics must exist and run where the data resides. An IBM client eloquently compares this change in analytics strategy to a shift from "moving the ocean to the boat to moving the boat to the ocean," where the boat is the analytics and the ocean is the data. IBM respects and invests heavily on data gravity because it recognizes the tremendous benefits that data gravity can deliver to you, including reduced cost and minimized security risks. IBM Machine Learning for z/OS® is one of the offerings that decidedly move analytics to Z where your mission-critical data resides. In the inherently secure Z environment, your machine learning scoring services can co-exist with your transactional applications and data, supporting high throughput and minimizing response time while delivering consistent service level agreements (SLAs). This book introduces Machine Learning for z/OS version 1.1.0 and describes its unique value proposition. It provides step-by-step guidance for you to get started with the program, including best practices for capacity planning, installation and configuration, administration and operation. Through a retail example, the book shows how you can use t..
http://library.link/vocab/creatorName
Buhler, Samantha
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Cai, Guanjun
  • Goodyear, John
  • Irizarry, Edrian
  • Kissari, Nora
  • Ling, Zhuo
  • Marion, Nicholas
  • Petrov, Aleksandr
  • Shen, Junfei
  • Wang, Wanting
  • Yang, He
  • Yi, Dai
  • Yuen, Xavier
  • Zhang, Hao
  • Safari, an O’Reilly Media Company
Label
Turning Data into Insight with IBM Machine Learning for z/OS, Buhler, Samantha, (electronic resource)
Link
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (180 pages)
Form of item
online
Issuing body
Made available through: Safari, an O’Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
9780738457130
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9780738457130
System details
Mode of access: World Wide Web
Label
Turning Data into Insight with IBM Machine Learning for z/OS, Buhler, Samantha, (electronic resource)
Link
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (180 pages)
Form of item
online
Issuing body
Made available through: Safari, an O’Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
9780738457130
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9780738457130
System details
Mode of access: World Wide Web

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